Description
Circuits, Signals and Systems for Bioengineers (4th Ed.)
A MATLAB-Based Introduction
Biomedical Engineering Series
Author: Semmlow John
Language: EnglishSubjects for Circuits, Signals and Systems for Bioengineers:
Keywords
spatial frequency domains; probability density function; noise reduction; signals correlations; Fourier Transformation; Laplace Transform; Non-Zero Initial Conditions; z-Transform; impulse response; Simulink; linear filters; stochastic processes; image segmentation; edge detection; energy storage devices; phasor analysis; Kirchhoff’s Voltage Law; mesh analysis; resonant bandwidth; measurement loading; op amps
782 p. · 19x23.3 cm · Paperback
Description
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Acknowledgments Table of Contents Preface to the Fourth Edition Part I - SIGNALS 1. The Big Picture: Bioengineering Signals and Systems 2. Signal Analysis in the Time Domain 3. Signal Analysis in the Frequency Domain: The Fourier Series and the Fourier Transformation 4. Signal Analysis in the Frequency Domain - Implications and Applications Part II - SYSTEMS 5. Linear Systems Analysis in the Time Domain - Convolution 6. Linear Systems Analysis in the Frequency Domain: The Transfer Function 7. Linear Systems in the Complex Frequency Domain: The Laplace Transform 8. Analysis of Discrete Linear Systems - The z-Transform and Applications to Filters 9. System Modeling and Simulink 10. Stochastic, Nonstationary, and Nonlinear Systems and Signals 11. Two-Dimensional Signals - Basic Image Analysis PART III - CIRCUITS 12. Circuits Elements and Circuit Variables 13. Analysis of Analog Circuits and Models 14. Circuit Reduction - Simplifications 15. Basic Analog Electronics - Operational Amplifiers APPENDICES Appendix A - Derivations Appendix B Laplace Transforms and Properties of the Fourier Transform Appendix C - Trigonometric and Other Formulae Appendix D - Conversion Factors Appendix E - Complex Numbers Appendix F - LF356 Specifications Appendix G - Determinants and Cramer's Rule Bibliography
- Covers current applications in biocontrol, with examples from physiological systems modeling, such as the respiratory system
- Features revised material throughout, with improved clarity of presentation and more biological, physiological, and medical examples and applications
- Includes support materials, such as solutions, lecture slides, MATLAB data, and functions needed to solve problems